Triple

T5706128
Position Surface form Disambiguated ID Type / Status
Subject Lost in Space (1998 film) E125787 entity
Predicate mainCharacter P1183 FINISHED
Object Maureen Robinson E674211 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maureen Robinson | Statement: [Lost in Space (1998 film), mainCharacter, Maureen Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Robinson
Context triple: [Lost in Space (1998 film), mainCharacter, Maureen Robinson]
  • A. Maureen Robinson chosen
    Maureen Robinson is the brilliant and resourceful matriarch of the Robinson family in the 2018 reboot of the science fiction series "Lost in Space."
  • B. Maureen Cox
    Maureen Cox was a British hairdresser best known as the first wife of Beatles drummer Ringo Starr.
  • C. Maureen Swanson
    Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
  • D. Maureen Earl
    Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
  • E. Maureen Garrett
    Maureen Garrett is an American actress best known for her long-running role as Holly Norris on the soap opera "Guiding Light."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9f798cbfc8190b1106298c3f211a5 completed March 30, 2026, 4:10 a.m.
Created at: March 22, 2026, 3:45 p.m.